Academic literature on the topic 'Traffic'

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Journal articles on the topic "Traffic"

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Amin, Reuel. "Traffix : Efficient Traffic Control using IoT." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31872.

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This paper aims to alleviate traffic congestion brought on by antiquated, ineffective traffic management systems that are based on a predefined countdown. Long red light delays are the result of these traditional systems, which have a predefined countdown regardless of the actual traffic on a given road. Our system makes sure that time set for the traffic lights reflects the traffic density in real time, which ensures efficient use of time. In order to do this, we first compute the traffic density, which is ascertained by combining image processing methods along with the use of ultrasonic sens
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Hussein, Shahab A., Mahmood A. Hussein, and Saad A. Al-Rijabo. "Mechanization Assessment of Soil Compaction Induced by Traffic of Farm Machinery." IOP Conference Series: Earth and Environmental Science 1214, no. 1 (2023): 012051. http://dx.doi.org/10.1088/1755-1315/1214/1/012051.

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Abstract This study was conducted to investigate the impacts of compacted and non-compacted soils induced by traffic of farm machines and equipment during the agricultural operations on some mechanization properties (e.g. Draught Force, Specific Resistance, Energy Use Efficiency and Soil resistance to cutting and shaping). The experiment was conducted during the spring agricultural season of 2022 in one of the farms that located about 30 km Northwest Mosul city - Nineveh Governorate - Iraq. Randomized Complete Block Design (RCBD) was used for data analyses with four replications (n=4). The exp
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Hamarashid, Hozan Khalid, Miran Hama Rahim Saeed, and Soran Saeed. "Designing a Smart Traffic Light Algorithm (HMS) Based on Modified Round Robin Algorithm." Kurdistan Journal of Applied Research 2, no. 1 (2017): 27–30. http://dx.doi.org/10.24017/science.2017.1.8.

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Nowadays, traffic light system is very important to avoid car crashes and arrange traffic load. In the Sulaimani City / Iraq, there are many traffic problems such as traffic congestion or traffic jam and the amount of time provided manually to the traffic light system. This is the main difficulty that we try to solve. The traffic lights exist but still do not manage traffic congestion due to the fixed time provided for each lane regardless of their different load. Therefore, we are proposing to change the traditional traffic system to smart traffic system (adaptive system). This paper Focuses
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Elizabeth Philip, Babitha, and Jaseela K H. "Traffic Flow Modeling and Study of Traffic Congestion." International Journal of Scientific Engineering and Research 4, no. 1 (2016): 67–68. https://doi.org/10.70729/ijser15667.

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Chaurasia, Amit, and Vivek Kumar Sehgal. "Performance of Gaussian and Non-Gaussian Synthetic Traffic on Networks-on-Chip." International Journal of Multimedia Data Engineering and Management 8, no. 2 (2017): 33–42. http://dx.doi.org/10.4018/ijmdem.2017040104.

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In this paper, we have worked on the bursty synthetic traffic for Gaussian and Non-Gaussian traffic traces on the NoC architecture. This is the first study on the performance of Gaussian and Non-Gaussian application traffic on the multicore architectures. The real-time traffic having the marginal distribution are Non-Gaussian in nature, so any analytical studies or simulations will not be accurate, and does not capture the true characteristics of application traffic. Simulation is performed on synthetic generated traces for Gaussian and Non-Gaussian traffic for different traffic patterns. The
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Wu, Wei Qiang, Bing Ni Luo, Pei Pei Chen, and Qin Yu Zhang. "QoS Routing Protocol Based on Resource Optimization for Aerospace Networks." Applied Mechanics and Materials 596 (July 2014): 856–60. http://dx.doi.org/10.4028/www.scientific.net/amm.596.856.

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To guarantee the QoS of the various traffics and take good advantage of the network resource, the QoS routing protocol based on resource optimization is proposed. By the network state information dynamic update and the QoS routing optimization model design, the QoS routing protocol can provide the optimal path for real-time traffic, broadband traffic and best effort traffic in time with low control message cost. Simulation shown that, compared to the traditional shortest path routing, the QoS routing can satisfy the demand of traffics and can improve the network performance.
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Manvelidze, A. B. "Air lines network modelling algorithm." Strategic decisions and risk management, no. 6 (February 13, 2018): 22–29. http://dx.doi.org/10.17747/2078-8886-2017-6-22-29.

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This analysis is dedicated to find out methods for setting of route networks where new aircraft can be effectively put into service. The conception of this analysis is based on the idea of so called connectivity principle for airports connected by passenger traffic with each other.For the passenger traffic analysis the author took passenger traffic data by federal districts starting from the Far East. Then consequently the data for Siberian, Ural, Wolga, Northwestern, Central, Southern and North Caucasian federal districts were analyzed. Passenger traffic to the Crimea was treated separately.
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Desimoni, Federico, Sergio Ilarri, Laura Po, Federica Rollo, and Raquel Trillo-Lado. "Semantic Traffic Sensor Data: The TRAFAIR Experience." Applied Sciences 10, no. 17 (2020): 5882. http://dx.doi.org/10.3390/app10175882.

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Modern cities face pressing problems with transportation systems including, but not limited to, traffic congestion, safety, health, and pollution. To tackle them, public administrations have implemented roadside infrastructures such as cameras and sensors to collect data about environmental and traffic conditions. In the case of traffic sensor data not only the real-time data are essential, but also historical values need to be preserved and published. When real-time and historical data of smart cities become available, everyone can join an evidence-based debate on the city’s future evolution.
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Amirullah, M. Farid. "Standard Operating Crime Investigation Traffic Accidents." Jurnal Daulat Hukum 1, no. 3 (2018): 837. http://dx.doi.org/10.30659/jdh.v1i3.3411.

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History Traffic in Indonesia can not be separated from the development of the world Automotive technology, which originated from the discovery of the engine with petroleum fuels. In the days of the Dutch East Indies government then ruled Indonesia started bringing vehicles wheel 4 and wheel 2 to Indonesia, causing traffic activity. And when the car and motorcycle multiply causing many problems - the problems of traffic, such as traffic violations and accidents. Given the above, of course of police duties particularly Traffic Police Unit increasingly severe, in the sense of Traffic Police Unit
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T M, Inba Malar, Bharatha Sreeja G, Amala Justus Selvam M, et al. "Intelligent Traffic Control System Using Deep Learning." ECS Transactions 107, no. 1 (2022): 2783–90. http://dx.doi.org/10.1149/10701.2783ecst.

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Traffic congestion and regulating traffic in traffic signals are major issues in cities. Nowadays, in most of the cities, traffic management centers installed numerous cameras all over the roads and traffic signals. Such cameras can be effectively used for the automation of traffic signals. The objective is to develop a real time system that can automatically monitor real time traffic and make the system intelligent using artificial intelligence techniques. Specifically, Deep Convolutional Neural Networks are employed to perform the task. From statistical traffic data, it determines count, typ
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Dissertations / Theses on the topic "Traffic"

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Lenkei, Zsolt. "Crowdsourced traffic information in traffic management : Evaluation of traffic information from Waze." Thesis, KTH, Transportplanering, ekonomi och teknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239178.

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The early observation and elimination of non-recurring incidents is a crucial task in trafficmanagement. The performance of the conventional incident detection methods (trafficcameras and other sensory technologies) is limited and there are still challenges inobtaining an accurate picture of the traffic conditions in real time. During the last decade,the technical development of mobile platforms and the growing online connectivity made itpossible to obtain traffic information from social media and applications based on spatialcrowdsourcing. Utilizing the benefits of crowdsourcing, traffic auth
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De, Nunzio Giovanni. "Traffic eco-management in urban traffic networks." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAT064/document.

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Le problème de la gestion éco-responsable du trafic urbain est adressé. Ce type de gestion du trafic vise à réduire les arrêts des véhicules, les accélérations, la consommation énergétique, ainsi que la congestion. L'éco-management du trafic dans les réseaux urbains peut être catégorisé dans deux classes principales : contrôle du véhicule et contrôle de l'infrastructure. Les deux domaines de contrôle peuvent présenter caractéristiques soit isolées soit coordonnées, en dépendant du type d'information utilisée dans l'optimisation.La gestion du trafic côté véhicule influe sur chaque véhicule en f
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Caldwell, Sean W. "On Traffic Analysis of 4G/LTE Traffic." Cleveland State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=csu1632179249187618.

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Linares, Herreros Mª Paz. "A mesoscopic traffic simulation based dynamic traffic assignment." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/144939.

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In terms of sustainability, traffic is currently a significant challenge for urban areas, where the pollution, congestion and accidents are negative externalities which have strongly impacted the health and economy of cities. The increasing use of private vehicles has further exacerbated these problems. In this context, the development of new strategies and policies for sustainable urban transport has made transport planning more relevant than ever before. Mathematical models have helped greatly in identifying solutions, as well as in enriching the process of making decisions and planning. In
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Fehr, Alan. "Traffic 3.1 enhancing performance and functionality of traffic /." Zürich : ETH, Eidgenössische Technische Hochschule Zürich, Department of Computer Science, 2003. http://e-collection.ethbib.ethz.ch/show?type=dipl&nr=330.

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Manaka, Maakomele R. "Oncoming traffic." Thesis, Rhodes University, 2016. http://hdl.handle.net/10962/1021220.

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The poems in my collection Oncoming Traffic mainly look at the silence in my personal conflicts. Fusing different styles and tones of writing from the lyrical to the surreal, these poems grapple with issues I struggle with on a daily basis. First as a man, second as a man with a physical disability, and lastly as a black man dealing with the reality of living in a dysfunctional/disabled society. The silence in my personal conflicts means, writing what I cannot say, stripping myself bare and vulnerable. My inspiration has come from poets who articulate such silences.
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Wen, Keyao. "Traffic Accident Prediction Model Implementation in Traffic Safety Management." Thesis, Linköping University, Communications and Transport Systems, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-52203.

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<p>As one of the highest fatalities causes, traffic accidents and collisions always requires a large amounteffort to be reduced or prevented from occur. Traffic safety management routines therefore always needefficient and effective implementation due to the variations of traffic, especially from trafficengineering point of view apart from driver education.Traffic Accident Prediction Model, considered as one of the handy tool of traffic safety management,has become of well followed with interested. Although it is believed that traffic accidents are mostlycaused by human factors, these accident
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Hine, Julian Paul. "Traffic barriers : the impact of traffic on pedestrian behaviour." Thesis, Heriot-Watt University, 1994. http://hdl.handle.net/10399/1310.

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Su, Ching-fong. "Efficient traffic management based on deterministically constrained traffic flows /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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Warsama, Ahmed. "Traffic Engineering with SDN : Optimising traffic Load-Balancing with OpenFlow". Thesis, Mittuniversitetet, Institutionen för informationssystem och –teknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-39385.

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The advent of trends such as virtualization, cloud computing, IoT and BYOD has increased the traffic loads on modern enterprise and data-center networks. As the requirements on today’s networks increase, newer designs and solutions have sprout forth. Software-Defined Networking was developed to cater to the needs of modern networks and to improve traffic handling among other things. This study focuses on the ways SDN, specifically the OpenFlow standard, can be used to load-balance and increase the network throughput, in comparison to traditional methods such as Equal-Cost Load-Balancing. This
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Books on the topic "Traffic"

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Vanderbilt, Tom. Traffic. Knopf Doubleday Publishing Group, 2008.

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Gazis, Denos C. Traffic theory. Kluwer Academic, 2002.

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Callegati, Franco, Walter Cerroni, and Carla Raffaelli. Traffic Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-09589-4.

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Sebek, Barbara, and Stephen Deng, eds. Global Traffic. Palgrave Macmillan US, 2008. http://dx.doi.org/10.1057/9780230611818.

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Salter, R. J. Traffic Engineering. Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-10800-8.

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Cohen, Simon, and George Yannis, eds. Traffic Management. John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119307822.

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Yannis, George, and Simon Cohen, eds. Traffic Safety. John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119307853.

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Morris, Anna. Holidays. Traffic. Thornes, 1991.

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Kyoichi, Tsuzuki, ed. Traffic art. Kyoto Shoin, 1990.

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Singer, Irma. Traffic jam. Harcourt, 2003.

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Book chapters on the topic "Traffic"

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Weik, Martin H. "traffic." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_19816.

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Abbey, Lester. "Traffic." In Highways: An Architectural Approach. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4684-6515-0_21.

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Mallick, Rajib B., and Tahar El-Korchi. "Traffic." In Pavement Engineering, 4th ed. CRC Press, 2022. http://dx.doi.org/10.1201/b23274-5.

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Salter, R. J. "Measurement of Highway Traffic Stream Speed Time and Space Mean Speeds." In Traffic Engineering. Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-10800-8_1.

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Salter, R. J. "Queueing Theory Applied to Highways." In Traffic Engineering. Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-10800-8_10.

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Salter, R. J. "Priority Intersections, Gap and Lag Acceptance." In Traffic Engineering. Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-10800-8_11.

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Salter, R. J. "Delays at Priority Intersections Illustrated by an Example." In Traffic Engineering. Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-10800-8_12.

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Salter, R. J. "The Capacity of Oversaturated Priority Intersections." In Traffic Engineering. Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-10800-8_13.

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Salter, R. J. "Geometric Delay at an At-Grade Roundabout." In Traffic Engineering. Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-10800-8_14.

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Salter, R. J. "Relationship between Entry and Circulating Flow at Roundabouts." In Traffic Engineering. Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-10800-8_15.

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Conference papers on the topic "Traffic"

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Devis, Delvin, Parthav Povil, Parvathy J. Menon, Pravya Pavithran, and Sreeraj R. "Traffix: Dapp For Traffic Violation Reporting." In 2025 2nd International Conference on Trends in Engineering Systems and Technologies (ICTEST). IEEE, 2025. https://doi.org/10.1109/ictest64710.2025.11042827.

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Notcker, Joachim, Milad Ghadimi, Riccardo Bassoli, Domenico Scotece, Frank H. P. Fitzek, and Luca Foschini. "Traffic Matrices for Quantum Traffic Engineering." In 2024 IEEE Future Networks World Forum (FNWF). IEEE, 2024. https://doi.org/10.1109/fnwf63303.2024.11028708.

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Korde, Mridula, Nishad Gharote, Rahul Mishra, and Pritesh Tripathi. "Real-Time Traffic Optimization for Urban Traffic Congestion." In 2025 International Conference on Emerging Systems and Intelligent Computing (ESIC). IEEE, 2025. https://doi.org/10.1109/esic64052.2025.10962639.

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Prasanna, S., S. Fahimuddin, S. Dileep Jawahar Reddy, K. Deekshith Reddy, D. Dileep Kumar, and D. Ajay Gowd. "Traffic-Flow Predictor: Predicting Traffic Volume and Patterns." In 2025 International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, 2025. https://doi.org/10.1109/iciccs65191.2025.10984693.

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Noguchi, Takahiro, Hiroyasu Ando, Ryunosuke Fukuzaki, Yumi Watahiki, and Isamu Takahara. "Reduction of Traffic Congestion by Using Chaotic Traffic Flow in a Scaled Traffic Model." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825336.

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Backfrieder, Christian, Christoph F. Mecklenbrauker, and Gerald Ostermayer. "TraffSim -- A Traffic Simulator for Investigating Benefits Ensuing from Intelligent Traffic Management." In 2013 European Modelling Symposium (EMS). IEEE, 2013. http://dx.doi.org/10.1109/ems.2013.76.

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Otoshi, Tatsuya, Yuichi Ohsita, Masayuki Murata, Yousuke Takahashi, Keisuke Ishibashi, and Kohei Shiomoto. "Traffic prediction for dynamic traffic engineering considering traffic variation." In 2013 IEEE Global Communications Conference (GLOBECOM 2013). IEEE, 2013. http://dx.doi.org/10.1109/glocom.2013.6831297.

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Chiun Lin Lim and Ao Tang. "Traffic engineering with elastic traffic." In 2013 IEEE Global Communications Conference (GLOBECOM 2013). IEEE, 2013. http://dx.doi.org/10.1109/glocom.2013.6831547.

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Mrazek, Jan, Lucia Duricova Mrazkova, and Martin Hromada. "Traffic Control Through Traffic Density." In 2019 3rd European Conference on Electrical Engineering and Computer Science (EECS). IEEE, 2019. http://dx.doi.org/10.1109/eecs49779.2019.00017.

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Lindorfer, Manuel, Christian Backfrieder, Christoph F. Mecklenbrauker, and Gerald Ostermayer. "Modeling Isolated Traffic Control Strategies in TraffSim." In 2017 UKSim-AMSS 19th International Conference on Computer Modelling & Simulation (UKSim). IEEE, 2017. http://dx.doi.org/10.1109/uksim.2017.12.

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Reports on the topic "Traffic"

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Cochran, David, and Donald Genda. Traffic Speed Report No. 124 : Traffic Report. Purdue University, 1991. http://dx.doi.org/10.5703/1288284314190.

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Papadimitriou, D. Ethernet Traffic Parameters. RFC Editor, 2010. http://dx.doi.org/10.17487/rfc6003.

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Constantine, B., and R. Krishnan. Traffic Management Benchmarking. RFC Editor, 2015. http://dx.doi.org/10.17487/rfc7640.

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Lafferriere, Gerardo. Traffic Signal Consensus Control. Transportation Research and Education Center (TREC), 2019. http://dx.doi.org/10.15760/trec.213.

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Lafferriere, Gerardo. Traffic Signal Consensus Control. Transportation Research and Education Center (TREC), 2019. http://dx.doi.org/10.15760/trec.221.

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Brownlee, N., C. Mills, and G. Ruth. Traffic Flow Measurement: Architecture. RFC Editor, 1997. http://dx.doi.org/10.17487/rfc2063.

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Brownlee, N., C. Mills, and G. Ruth. Traffic Flow Measurement: Architecture. RFC Editor, 1999. http://dx.doi.org/10.17487/rfc2722.

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Ould-Brahim, H., D. Fedyk, and Y. Rekhter. BGP Traffic Engineering Attribute. RFC Editor, 2009. http://dx.doi.org/10.17487/rfc5543.

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Nagel, K., C. L. Barrett, and M. Rickert. Large scale traffic simulations. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/459884.

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Carlson, Jake. Traffic Flow - Purdue University. Purdue University Libraries, 2009. http://dx.doi.org/10.5703/1288284315016.

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